How to cite this paper
Chiu, S., Huang, Y., Chiu, Y & Chiu, T. (2019). Satisfying multiproduct demand with a FPR-based inventory system featuring expedited rate and scraps.International Journal of Industrial Engineering Computations , 10(3), 443-452.
Refrences
Absi, N. & Kedad-Sidhoum, S. (2009). The multi-item capacitated lot-sizing problem with safety stocks and demand shortage costs. Computers and Operations Research, 36(11), 2926-2936.
Al-Bahkali, E.A., & Abbas, A.T. (2018). Failure analysis of vise jaw holders for hacksaw machine. Journal of King Saud University-Engineering Sciences, 30(1), 68-77.
Ameen, W., AlKahtani, M., Mohammed, M.K., Abdulhameed, O., & El-Tamimi, A.M. (2018). Investigation of the effect of buffer storage capacity and repair rate on production line efficiency. Journal of King Saud University - Engineering Sciences, 30(3), 243-249
Bylka, S., & Rempala, R. (2001). Multiproduct lot sizing for finite production rate. International Journal of Production Economics, 71(1-3), 305-315.
Chakraborty, T., Chauhan, S.S., & Giri, B.C. (2013). Joint effect of stock threshold level and production policy on an unreliable production environment. Applied Mathematical Modelling, 37(10-11), 6593-6608.
Cheung, K.L., & Hausman, W.H. (1997). Joint determination of preventive maintenance and safety stocks in an unreliable production environment. Naval Research Logistics, 44(3), 257-272.
Chiu, Y-S.P., Lin, H-D., Tseng, C-T., & Chiu, S.W. (2016a). Determining cycle time for a multiproduct FPR model with rework and an improved delivery policy by alternative approach. International Journal for Engineering Modelling, 29(1-4), 27-36.
Chiu, Y-S.P., Hsieh, Y-T., Kuo, J-S., & Chiu, S.W. (2016b). A delayed differentiation multi-product FPR model with scrap and a multi-delivery policy–I: Using single-machine production scheme. International Journal for Engineering Modelling, 29(1-4), 37-52.
Chiu, Y-S.P., Lin, H-D., Wu, M-F., & Chiu, S.W. (2018a). Alternative fabrication scheme to study effects of rework of nonconforming products and delayed differentiation on a multiproduct supply-chain system. International Journal of Industrial Engineering Computations, 9(2), 235-248.
Chiu, S.W., Wu, H-Y., Chiu, Y-S.P., & Hwang, M-H. (2018b). Exploration of finite production rate model with overtime and rework of nonconforming products. Journal of King Saud University-Engineering Sciences, 30(3), 224-231.
Chiu, Y-S.P., Chen, H-Y., Chiu, T., & Chiu, S.W. (2018c). Incorporating flexible fabrication rate and random scrap into a FPR-based supply-Chain system. Economic Computation and Economic Cybernetics Studies and Research, 52(2), 157-174.
Clausen, J. & Ju, S. (2006). A hybrid algorithm for solving the economic lot and delivery scheduling problem in the common cycle case. European Journal of Operational Research, 175(2), 1141-1150.
Eroglu, A., & Ozdemir, G. (2007). An economic order quantity model with defective items and shortages. International Journal of Production Economics, 106(2), 544-549.
Fergany, H.A. (2016). Probabilistic multi-item inventory model with varying mixture shortage cost under restrictions. SpringerPlus, 5(1), art. no. 1351.
Gallego, G. (1993). Reduced production rates in the economic lot scheduling problem. International Journal of Production Research, 31(5), 1035-1046.
Glock, C.H. (2013). The machine breakdown paradox: How random shifts in the production rate may increase company profits. Computers and Industrial Engineering, 66(4), 1171-1176.
Jawla, P. & Singh, S.R. (2016). Multi-item economic production quantity model for imperfect items with multiple production setups and rework under the effect of preservation technology and learning environment. International Journal of Industrial Engineering Computations, 7(4), 703-716.
Kaylani, H., Almuhtady, A., & Atieh, A.M. (2016). Novel approach to enhance the performance of production systems using lean tools. Jordan Journal of Mechanical and Industrial Engineering, 10(3), 215-229.
Khanna, A., Kishore, A., & Jaggi, C.K. (2017). Strategic production modeling for defective items with imperfect inspection process, rework, and sales return under two-level trade credit. International Journal of Industrial Engineering Computations, 8(1), 85-118.
Kumar, S., Goyal, A., & Singhal, A. (2017). Manufacturing flexibility and its effect on system performance. Jordan Journal of Mechanical and Industrial Engineering, 11(2), 105-112.
Larsen, C. (1997). Using a variable production rate as a response mechanism in the economic production lot size model. Journal of the Operational Research Society, 48(1), 97-99.
Liu, Y., Wu, H., Hou, J., Wei, C., & Ren, W. (2017). An injection/production rate allocation method applied for polymer-surfactant flooding. Journal of Engineering Research, 5(2), 250-267.
Ma, W-N., Gong, D-C., & Lin, G.C. (2010). An optimal common production cycle time for imperfect production processes with scrap. Mathematical & Computer Modelling, 52(5-6), 724-737.
Majumder, P., Mondal, S.P., Bera, U.K., & Maiti, M. (2016). Application of Generalized Hukuhara derivative approach in an economic production quantity model with partial trade credit policy under fuzzy environment. Operations Research Perspectives, 3, 77-91.
Makis, V. (1998). Optimal lot sizing and inspection policy for an EMQ model with imperfect inspections. Naval Research Logistics, 45(2), 165-186.
Muller, A., & Clarkson, C. (2016). Identifying major transitions in the evolution of lithic cutting edge production rates. PLoS ONE, 11(12), art. no. e0167244.
Nahmias, S. (2009). Production & Operations Analysis, McGraw-Hill Inc, New York.
Neidigh, R.O. & Harrison, T.P. (2010). Optimising lot sizing and order scheduling with non-linear production rates. International Journal of Production Research, 48(8), 2279-2295.
Pearce, A., Pons, D., & Neitzert, T. (2018). Implementing lean—Outcomes from SME case studies. Operations Research Perspectives, 5, 94-104.
Pellerin, R., Sadr, J., Gharbi, A., & Malhamé, R. (2009). A production rate control policy for stochastic repair and remanufacturing systems. International Journal of Production Economics, 121(1), 39-48.
Rakyta, M., Fusko, M., Herčko, J., Závodská, L., & Zrnić, N. (2016). Proactive approach to smart maintenance and logistics as a auxiliary and service processes in a company. Journal of Applied Engineering Science, 14(4), 433-442.
Razmi, J., Kazerooni, M.P., & Sangari, M.S. (2016). Designing an integrated multi-echelon, multi-product and multi-period supply chain network with seasonal raw materials. Economic Computation and Economic Cybernetics Studies and Research, 50(1), 273-290.
Rezazadeh, H., & Khiali-Miab, A. (2017). A two-layer genetic algorithm for the design of reliable cellular manufacturing systems. International Journal of Industrial Engineering Computations, 8(3), 315-332.
Rosenblatt, M.J., & Lee, H.L. (1986). Economic production cycles with imperfect production processes. IIE Transactions, 18, 48-55.
Rosenblatt, M.J. & Rothblum, U.G. (1990). On the single resource capacity problem for multi-item inventory systems. Operations Research, 38(4), 686-693.
Shakoor, M., Abu Jadayil, W., Jabera, N., & Jaber, S. (2017). Efficiency assessment in emergency department using lean thinking approach. Jordan Journal of Mechanical and Industrial Engineering, 11(2), 97-103.
Song, J-S. (1998). On the order fill rate in a multi-item, base-stock inventory system. Operations Research, 46(6), 831-845.
Taft, E.W. (1918). The most economical production lot. Iron Age, 101, 1410–1412.
Taleizadeh, A.A., Jalali-Naini, S.G., Wee, H-M., & Kuo, T-C. (2013). An imperfect multi-product production system with rework. Scientia Iranica, 20(3), 811-823.
Villeda, R., Dudek, R., & Smith, M.L. (1988). Increasing the production rate of a just-in-time production system with variable operation times. International Journal of Production Research, 26(11), 1749-1768.
Vujosevic, M., Makajic-Nikolic, D., & Pavlovic, P. (2017). A new approach to determination of the most critical multi-state components in multi-state systems. Journal of Applied Engineering Science, 15(4), 401-405.
Wolisz, A. (1984). Production rate optimization in a two-stage system with finite intermediate storage. European Journal of Operational Research, 18(3), 369-376.
Zahedi, Z., Ari Samadhi, T.M.A., Suprayogi, S., & Halim, A.H. (2016). Integrated batch production and maintenance scheduling for multiple items processed on a deteriorating machine to minimize total production and maintenance costs with due date constraint. International Journal of Industrial Engineering Computations, 7(2), 229-244.
Zahorik, A., Thomas, L.J., & Trigeiro, W.W. (1984). Network Programming Models for Production Scheduling in Multi-stage, Multi-item Capacitated Systems. Management Science, 30(3), 308-325.
Zhang, D., Zhang, Y., & Yu, M. (2016). A machining process oriented modeling approach for reliability optimization of failure-prone manufacturing systems. Journal of Engineering Research, 4(3), 128-143.
Al-Bahkali, E.A., & Abbas, A.T. (2018). Failure analysis of vise jaw holders for hacksaw machine. Journal of King Saud University-Engineering Sciences, 30(1), 68-77.
Ameen, W., AlKahtani, M., Mohammed, M.K., Abdulhameed, O., & El-Tamimi, A.M. (2018). Investigation of the effect of buffer storage capacity and repair rate on production line efficiency. Journal of King Saud University - Engineering Sciences, 30(3), 243-249
Bylka, S., & Rempala, R. (2001). Multiproduct lot sizing for finite production rate. International Journal of Production Economics, 71(1-3), 305-315.
Chakraborty, T., Chauhan, S.S., & Giri, B.C. (2013). Joint effect of stock threshold level and production policy on an unreliable production environment. Applied Mathematical Modelling, 37(10-11), 6593-6608.
Cheung, K.L., & Hausman, W.H. (1997). Joint determination of preventive maintenance and safety stocks in an unreliable production environment. Naval Research Logistics, 44(3), 257-272.
Chiu, Y-S.P., Lin, H-D., Tseng, C-T., & Chiu, S.W. (2016a). Determining cycle time for a multiproduct FPR model with rework and an improved delivery policy by alternative approach. International Journal for Engineering Modelling, 29(1-4), 27-36.
Chiu, Y-S.P., Hsieh, Y-T., Kuo, J-S., & Chiu, S.W. (2016b). A delayed differentiation multi-product FPR model with scrap and a multi-delivery policy–I: Using single-machine production scheme. International Journal for Engineering Modelling, 29(1-4), 37-52.
Chiu, Y-S.P., Lin, H-D., Wu, M-F., & Chiu, S.W. (2018a). Alternative fabrication scheme to study effects of rework of nonconforming products and delayed differentiation on a multiproduct supply-chain system. International Journal of Industrial Engineering Computations, 9(2), 235-248.
Chiu, S.W., Wu, H-Y., Chiu, Y-S.P., & Hwang, M-H. (2018b). Exploration of finite production rate model with overtime and rework of nonconforming products. Journal of King Saud University-Engineering Sciences, 30(3), 224-231.
Chiu, Y-S.P., Chen, H-Y., Chiu, T., & Chiu, S.W. (2018c). Incorporating flexible fabrication rate and random scrap into a FPR-based supply-Chain system. Economic Computation and Economic Cybernetics Studies and Research, 52(2), 157-174.
Clausen, J. & Ju, S. (2006). A hybrid algorithm for solving the economic lot and delivery scheduling problem in the common cycle case. European Journal of Operational Research, 175(2), 1141-1150.
Eroglu, A., & Ozdemir, G. (2007). An economic order quantity model with defective items and shortages. International Journal of Production Economics, 106(2), 544-549.
Fergany, H.A. (2016). Probabilistic multi-item inventory model with varying mixture shortage cost under restrictions. SpringerPlus, 5(1), art. no. 1351.
Gallego, G. (1993). Reduced production rates in the economic lot scheduling problem. International Journal of Production Research, 31(5), 1035-1046.
Glock, C.H. (2013). The machine breakdown paradox: How random shifts in the production rate may increase company profits. Computers and Industrial Engineering, 66(4), 1171-1176.
Jawla, P. & Singh, S.R. (2016). Multi-item economic production quantity model for imperfect items with multiple production setups and rework under the effect of preservation technology and learning environment. International Journal of Industrial Engineering Computations, 7(4), 703-716.
Kaylani, H., Almuhtady, A., & Atieh, A.M. (2016). Novel approach to enhance the performance of production systems using lean tools. Jordan Journal of Mechanical and Industrial Engineering, 10(3), 215-229.
Khanna, A., Kishore, A., & Jaggi, C.K. (2017). Strategic production modeling for defective items with imperfect inspection process, rework, and sales return under two-level trade credit. International Journal of Industrial Engineering Computations, 8(1), 85-118.
Kumar, S., Goyal, A., & Singhal, A. (2017). Manufacturing flexibility and its effect on system performance. Jordan Journal of Mechanical and Industrial Engineering, 11(2), 105-112.
Larsen, C. (1997). Using a variable production rate as a response mechanism in the economic production lot size model. Journal of the Operational Research Society, 48(1), 97-99.
Liu, Y., Wu, H., Hou, J., Wei, C., & Ren, W. (2017). An injection/production rate allocation method applied for polymer-surfactant flooding. Journal of Engineering Research, 5(2), 250-267.
Ma, W-N., Gong, D-C., & Lin, G.C. (2010). An optimal common production cycle time for imperfect production processes with scrap. Mathematical & Computer Modelling, 52(5-6), 724-737.
Majumder, P., Mondal, S.P., Bera, U.K., & Maiti, M. (2016). Application of Generalized Hukuhara derivative approach in an economic production quantity model with partial trade credit policy under fuzzy environment. Operations Research Perspectives, 3, 77-91.
Makis, V. (1998). Optimal lot sizing and inspection policy for an EMQ model with imperfect inspections. Naval Research Logistics, 45(2), 165-186.
Muller, A., & Clarkson, C. (2016). Identifying major transitions in the evolution of lithic cutting edge production rates. PLoS ONE, 11(12), art. no. e0167244.
Nahmias, S. (2009). Production & Operations Analysis, McGraw-Hill Inc, New York.
Neidigh, R.O. & Harrison, T.P. (2010). Optimising lot sizing and order scheduling with non-linear production rates. International Journal of Production Research, 48(8), 2279-2295.
Pearce, A., Pons, D., & Neitzert, T. (2018). Implementing lean—Outcomes from SME case studies. Operations Research Perspectives, 5, 94-104.
Pellerin, R., Sadr, J., Gharbi, A., & Malhamé, R. (2009). A production rate control policy for stochastic repair and remanufacturing systems. International Journal of Production Economics, 121(1), 39-48.
Rakyta, M., Fusko, M., Herčko, J., Závodská, L., & Zrnić, N. (2016). Proactive approach to smart maintenance and logistics as a auxiliary and service processes in a company. Journal of Applied Engineering Science, 14(4), 433-442.
Razmi, J., Kazerooni, M.P., & Sangari, M.S. (2016). Designing an integrated multi-echelon, multi-product and multi-period supply chain network with seasonal raw materials. Economic Computation and Economic Cybernetics Studies and Research, 50(1), 273-290.
Rezazadeh, H., & Khiali-Miab, A. (2017). A two-layer genetic algorithm for the design of reliable cellular manufacturing systems. International Journal of Industrial Engineering Computations, 8(3), 315-332.
Rosenblatt, M.J., & Lee, H.L. (1986). Economic production cycles with imperfect production processes. IIE Transactions, 18, 48-55.
Rosenblatt, M.J. & Rothblum, U.G. (1990). On the single resource capacity problem for multi-item inventory systems. Operations Research, 38(4), 686-693.
Shakoor, M., Abu Jadayil, W., Jabera, N., & Jaber, S. (2017). Efficiency assessment in emergency department using lean thinking approach. Jordan Journal of Mechanical and Industrial Engineering, 11(2), 97-103.
Song, J-S. (1998). On the order fill rate in a multi-item, base-stock inventory system. Operations Research, 46(6), 831-845.
Taft, E.W. (1918). The most economical production lot. Iron Age, 101, 1410–1412.
Taleizadeh, A.A., Jalali-Naini, S.G., Wee, H-M., & Kuo, T-C. (2013). An imperfect multi-product production system with rework. Scientia Iranica, 20(3), 811-823.
Villeda, R., Dudek, R., & Smith, M.L. (1988). Increasing the production rate of a just-in-time production system with variable operation times. International Journal of Production Research, 26(11), 1749-1768.
Vujosevic, M., Makajic-Nikolic, D., & Pavlovic, P. (2017). A new approach to determination of the most critical multi-state components in multi-state systems. Journal of Applied Engineering Science, 15(4), 401-405.
Wolisz, A. (1984). Production rate optimization in a two-stage system with finite intermediate storage. European Journal of Operational Research, 18(3), 369-376.
Zahedi, Z., Ari Samadhi, T.M.A., Suprayogi, S., & Halim, A.H. (2016). Integrated batch production and maintenance scheduling for multiple items processed on a deteriorating machine to minimize total production and maintenance costs with due date constraint. International Journal of Industrial Engineering Computations, 7(2), 229-244.
Zahorik, A., Thomas, L.J., & Trigeiro, W.W. (1984). Network Programming Models for Production Scheduling in Multi-stage, Multi-item Capacitated Systems. Management Science, 30(3), 308-325.
Zhang, D., Zhang, Y., & Yu, M. (2016). A machining process oriented modeling approach for reliability optimization of failure-prone manufacturing systems. Journal of Engineering Research, 4(3), 128-143.